Data Governance Manager

Job Title : AI Governance Specialist Position Summary : We are seeking an experienced

AI Governance Specialist

to lead and support the development and implementation of governance frameworks for responsible AI across the organization. This role will help ensure that AI and machine learning systems are developed, deployed, and monitored in a way that is ethical, transparent, secure, compliant, and aligned with business goals and societal expectations.

Key Responsibilities : AI Policy & Framework Development : Implement organizational AI governance policies and risk management frameworks. Align internal governance practices with global standards and regulations (e.g., EU AI Act, NIST AI RMF, ISO / IEC 42001). Collaborate with legal, compliance, data science, and product teams to ensure AI systems meet ethical and regulatory requirements. Risk Assessment & Compliance : Conduct AI risk and impact assessments across the model lifecycle. Monitor compliance with emerging AI regulations, data privacy laws (e.g., GDPR), and sector-specific requirements. Identify and escalate potential ethical, legal, or reputational risks. Ethical AI & Responsible Innovation : Promote fairness, transparency, accountability, explainability, and human oversight in AI / ML systems. Support initiatives for bias detection, algorithmic accountability, and model interpretability. Governance Operations & Tooling : Work with cross-functional teams to embed governance controls into MLOps and AI development pipelines. Evaluate or develop tools to support model documentation (e.g., model cards, datasheets), audit trails, and explainability. Stakeholder Engagement & Training : Act as a subject-matter expert on AI governance for internal and external stakeholders. Design and deliver training programs on responsible AI practices for technical and business teams.

Qualifications : Education : Bachelor’s or Master’s degree in Law, Computer Science, Data Science, Ethics, Public Policy, or a related field. Additional certifications (e.g., in AI Ethics, Data Protection, Risk Management) are a plus. Experience : 4–8 years of experience in AI / ML, risk management, regulatory compliance, or corporate governance. Experience with responsible AI frameworks, audit processes, or regulatory readiness preferred. Skills : Deep understanding of AI / ML technologies and their societal and organizational impacts. Experience working in regulated industries (e.g., finance, healthcare, energy). Knowledge of cybersecurity, data governance, or digital ethics. Strong analytical, communication, and stakeholder management skills. Ability to navigate ambiguity and influence cross-functional teams in a fast-paced environment